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STTR Phase I: A Social and Data-Driven Platform for Searching Healthcare Providers

Award Information
Agency: National Science Foundation
Branch: N/A
Contract: 1448848
Agency Tracking Number: 1448848
Amount: $225,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: IC
Solicitation Number: N/A
Solicitation Year: 2014
Award Year: 2015
Award Start Date (Proposal Award Date): 2015-01-01
Award End Date (Contract End Date): 2015-12-31
Small Business Information
3499 10th St 440
Riverside, CA 92501
United States
DUNS: 079393680
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Matthew Wiley
 (330) 936-2691
Business Contact
 Matthew Wiley
Phone: (330) 936-2691
Research Institution
 University of California-Riverside
 Evangelos Christidis
Office of Research 200 University Office Building
Riverside, CA 92521
United States

 Nonprofit College or University

The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project results from it providing a novel way to more effectively match patients to healthcare providers. Patients will be able to use the developed system to discover and compare the most suitable and experienced healthcare providers for their unique health needs, instead of just viewing a directory of providers in their area. For example, the proposed system will recommend to a patient searching for "knee replacement surgery" orthopedic surgeons with experience in this or similar procedures, positive health outcomes and high past patients satisfaction levels. The patient may then compare these surgeons by expertise, relative cost, location and several other attributes. By helping patients select the best healthcare providers, the proposed system not only has the potential to improve health outcomes, because providers will see the patients more relevant to their expertise, but may also reduce the number of "shopping-around" visits which may lead to a reduction in overall healthcare costs. This Small Business Technology Transfer (STTR) Phase I project will study methods to exploit Big Data, ranging from government-published health metrics and surveys to public social media data, to better match patients to healthcare providers. A key challenge is that many of these sources include free text, which must be analyzed to extract medically significant information. Further, different sources refer to the same medical terms in different ways; for example "myocardial infarction" vs. "heart attack", or "doctor knows her stuff" vs. "doctor is knowledgeable". Data mining and artificial intelligence techniques will be leveraged to identify which provider properties - medical school, years of experience, affiliated hospitals, and so on - should be used when searching for providers and how these properties should be best weighted and combined, given the healthcare needs of a patient.

* Information listed above is at the time of submission. *

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